IDEAS home Printed from https://ideas.repec.org/p/ris/uncgec/2010_002.html
   My bibliography  Save this paper

Wages, BMI, and Age

Author

Listed:

Abstract

Previous research generally finds that obesity negatively affects wages for women and does not affect wages for men. But this literature has for the most part focused on young workers and has not examined whether the effect of obesity might change as people age. In this essay, I examine the effect of obesity -- and body mass more generally -- on wages across the age distribution, using conventional parametric and flexible semiparametric fixed effect models. The model results suggest two contributions to previous literature. First, the parametric results indicate that, in failing to stratify by age, the literature may overstate the effect of BMI and obesity on wages for women and almost certainly understates any negative association for men. Secondly, the semiparametric models indicate that the wage function isn't really changing as either men or women age: the differences that we observe in the linear specifications are almost all due to the change in the distribution of BMI, rather than a change in the effect of BMI itself on wages.

Suggested Citation

  • Gregory, Christian, 2010. "Wages, BMI, and Age," UNCG Economics Working Papers 10-2, University of North Carolina at Greensboro, Department of Economics.
  • Handle: RePEc:ris:uncgec:2010_002
    as

    Download full text from publisher

    File URL: https://bryan.uncg.edu/wp-content/uploads/2018/02/10-02.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Courtemanche, Charles & Pinkston, Joshua C. & Stewart, Jay, 2015. "Adjusting body mass for measurement error with invalid validation data," Economics & Human Biology, Elsevier, vol. 19(C), pages 275-293.

    More about this item

    Keywords

    Wages; BMI; Semiparametric; Appearance;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I00 - Health, Education, and Welfare - - General - - - General
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:uncgec:2010_002. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Albert Link (email available below). General contact details of provider: https://edirc.repec.org/data/edncgus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.